A randomized maximum a posterior method for posterior sampling of high dimensional nonlinear Bayesian inverse problems

Kainan Wang, Tan Bui-Thanh, Omar Ghattas

We present a randomized maximum a posteriori (rMAP) method for generating approximate samples of posteriors in high dimensional Bayesian inverse problems governed by large-scale fo…